Merge pull request #133 from sysdiglabs/staging

Add new changes to production

Author: daviddetorres

apps/docker-engine.yaml

@@ -4,13 +4,13 @@ kind: App
 name: "Docker"
 keywords: 
   - Containers
-  - Coming soon
+  - Available
 availableVersions: 
-  - '19'
+  - '18.09.9'
 shortDescription: "Docker container engine"
 description: |
   Docker Engine powers millions of applications worldwide, providing a standardized packaging format for diverse applications.
   Docker Engine is the industry’s de facto container runtime that runs on various Linux (CentOS, Debian, Fedora, Oracle Linux, RHEL, SUSE, and Ubuntu) and Windows Server operating systems. Docker creates simple tooling and a universal packaging approach that bundles up all application dependencies inside a container which is then run on Docker Engine. Docker Engine enables containerized applications to run anywhere consistently on any infrastructure, solving “dependency hell” for developers and operations teams, and eliminating the “it works on my laptop!” problem.
 icon: https://upload.wikimedia.org/wikipedia/commons/4/4e/Docker_%28container_engine%29_logo.svg
 website: https://www.docker.com/
-available: false
+available: true

apps/images/mssql.png

@@ -0,0 +1,15 @@
+---
+apiVersion: v1
+kind: App
+name: "mssql"
+keywords: 
+  - Database
+  - Available
+availableVersions: 
+  - '2019'
+shortDescription: "Microsoft SQL Server is a relational database management system developed by Microsoft"
+description: |
+  Microsoft SQL Server is a relational database management system developed by Microsoft. As a database server, it is a software product with the primary function of storing and retrieving data as requested by other software applications—which may run either on the same computer or on another computer across a network.
+icon: https://raw.githubusercontent.com/sysdiglabs/promcat-resources/master/apps/images/mssql.png
+website: https://www.microsoft.com/en-us/sql-server/sql-server-2019
+available: true

apps/mssql.yaml

@@ -18,7 +18,7 @@ Disk will be full within 12 hours in instance.
 Average read latency over 250ms in instance.
 
 ## HighWriteLatency
-Average read latency over 250ms in instance.
+Average write latency over 250ms in instance.
 
 ## HighDiskQueue
 High disk queue depth in instance.

resources/aws-rds/ALERTS.md

@@ -62,7 +62,7 @@ configurations:
       labels:
         severity: warning
       annotations:
-        summary: Average read latency over 250ms in instance {{$labels.dimension_DBInstanceIdentifier}}
+        summary: Average write latency over 250ms in instance {{$labels.dimension_DBInstanceIdentifier}}
     - alert: HighDiskQueue
       expr: |
         aws_rds_disk_queue_depth_average > 25

resources/aws-rds/alerts.yaml

@@ -1923,8 +1923,8 @@
         {
           "current": {
             "selected": false,
-            "text": "Sysdig +carillan",
-            "value": "Sysdig +carillan"
+            "text": "Sysdig",
+            "value": "Sysdig"
           },
           "hide": 0,
           "includeAll": false,

resources/ceph/include/ceph_grafana.json

@@ -0,0 +1,7 @@
+# Alerts
+## BuilderBuildsFailRateTooHigh
+The build faild rate is too high(instance {{ $labels.instance }})
+
+## DaemonContainerActionLatencyTooHigh
+The the container action {{ $labels.action }} latency is too high for the instance {{ $labels.instance }}
+

resources/docker-engine/ALERTS.md

@@ -0,0 +1,34 @@
+# Installing the exporter
+In order to expose the metrics you have to configure the docker engine with the next file like the [documentation](https://docs.docker.com/config/daemon/prometheus/) says:
+
+To configure the Docker daemon as a Prometheus target, you need to specify the metrics-address. The best way to do this is via the daemon.json, which is located at one of the following locations by default. If the file does not exist, create it.
+
+- **Linux**: `/etc/docker/daemon.json`
+- **Windows Server**: `C:\ProgramData\docker\config\daemon.json`
+- **Docker Desktop for Mac / Docker Desktop for Windows**: Click the Docker icon in the toolbar, select **Preferences**, then select **Daemon**. Click **Advanced**.
+
+```json
+{
+  "metrics-addr" : "127.0.0.1:9323",
+  "experimental" : true
+}
+```
+
+# Sysdig Agent configuration
+For the Sysdig Agent to discover and scrape it automatically, enable the promscrape option in the agent configuration. You will get an example of the sysdig agent in the section below
+
+```yaml
+  prometheus.yaml: |
+    global:
+      scrape_interval: 10s
+    scrape_configs:
+    - job_name: docker
+      static_configs:
+        - targets:
+          - localhost:9323
+  dragent.yaml: |-
+    use_promscrape: true
+    prometheus:
+      enabled: true
+      prom_service_discovery: true
+```

resources/docker-engine/INSTALL.md

@@ -0,0 +1,17 @@
+# Docker engine
+Docker is an open platform for developing, shipping, and running applications. Docker enables you to separate your applications from your infrastructure so you can deliver software quickly. With Docker, you can manage your infrastructure in the same ways you manage your applications. By taking advantage of Docker’s methodologies for shipping, testing, and deploying code quickly, you can significantly reduce the delay between writing code and running it in production.
+
+# Metrics
+Docker offers the following metrics:
+- Builder metrics
+- Container state metrics
+- Subscribers metrics
+- Network, cpu and memory metrics
+
+For further information, consult the [official Docker web](https://docs.docker.com/config/daemon/prometheus/).
+
+# Number of time series generated
+The number of metrics generated for database is ~500.
+
+# Attributions
+Configuration files and dashboards maintained by [Sysdig team](https://sysdig.com/).

resources/docker-engine/README.md

@@ -0,0 +1,66 @@
+apiVersion: v1
+kind: Alert
+app: Docker
+version: 1.0.0
+appVersion:
+- 18.09.9
+configurations:
+- kind: Prometheus
+  data: |
+    - alert: BuilderBuildsFailRateTooHigh
+      expr: sum(rate(builder_builds_failed_total[5m])) >
+      for: 5m
+      labels:
+        severity: critical
+      annotations:
+        summary: The build faild rate is too high(instance {{ $labels.instance }})
+    - alert: DaemonContainerActionLatencyTooHigh
+      expr: histogram_quantile(0.90, rate(engine_daemon_container_actions_seconds_bucket)) > 5
+      for: 5m
+      labels:
+        severity: critical
+      annotations:
+        summary: The the container action {{ $labels.action }} latency is too high for the instance {{ $labels.instance }}
+- kind: Sysdig
+  data: |-
+    {
+      "alert": {
+        "condition": "sum(rate(builder_builds_failed_total[5m])) >",
+        "customNotification": {
+          "titleTemplate": "{{__alert_name__}} is {{__alert_status__}}",
+          "useNewTemplate": false
+        },
+        "enabled": true,
+        "name": "BuilderBuildsFailRateTooHigh",
+        "rateOfChange": false,
+        "reNotify": false,
+        "reNotifyMinutes": 5,
+        "severity": 4,
+        "severityLabel": "LOW",
+        "severityLevel": null,
+        "timespan": 600000000,
+        "type": "PROMETHEUS"
+      }
+    }
+- kind: Sysdig
+  data: |-
+    {
+      "alert": {
+        "condition": "histogram_quantile(0.90, rate(engine_daemon_container_actions_seconds_bucket)) > 5",
+        "customNotification": {
+          "titleTemplate": "{{__alert_name__}} is {{__alert_status__}}",
+          "useNewTemplate": false
+        },
+        "enabled": true,
+        "name": "DaemonContainerActionLatencyTooHigh",
+        "rateOfChange": false,
+        "reNotify": false,
+        "reNotifyMinutes": 5,
+        "severity": 4,
+        "severityLabel": "LOW",
+        "severityLevel": null,
+        "timespan": 600000000,
+        "type": "PROMETHEUS"
+      }
+    }
+descriptionFile: ALERTS.md